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test failure with upstream-dev

See original GitHub issue

https://dev.azure.com/xarray/xarray/_build/results?buildId=1101&view=logs

=================================== FAILURES ===================================
_________________________ test_datetime_reduce[False] __________________________

dask = False

    @arm_xfail
    @pytest.mark.parametrize("dask", [False, True])
    def test_datetime_reduce(dask):
        time = np.array(pd.date_range("15/12/1999", periods=11))
        time[8:11] = np.nan
        da = DataArray(np.linspace(0, 365, num=11), dims="time", coords={"time": time})
    
        if dask and has_dask:
            chunks = {"time": 5}
            da = da.chunk(chunks)
    
        actual = da["time"].mean()
>       assert not pd.isnull(actual)
E       AssertionError: assert not True
E        +  where True = <function isna at 0x7f2475449ae8>(<xarray.DataArray 'time' ()>\narray('NaT', dtype='datetime64[ns]'))
E        +    where <function isna at 0x7f2475449ae8> = pd.isnull

xarray/tests/test_duck_array_ops.py:288: AssertionError
__________________________ test_datetime_reduce[True] __________________________

dask = True

    @arm_xfail
    @pytest.mark.parametrize("dask", [False, True])
    def test_datetime_reduce(dask):
        time = np.array(pd.date_range("15/12/1999", periods=11))
        time[8:11] = np.nan
        da = DataArray(np.linspace(0, 365, num=11), dims="time", coords={"time": time})
    
        if dask and has_dask:
            chunks = {"time": 5}
            da = da.chunk(chunks)
    
        actual = da["time"].mean()
>       assert not pd.isnull(actual)
E       AssertionError: assert not True
E        +  where True = <function isna at 0x7f2475449ae8>(<xarray.DataArray 'time' ()>\narray('NaT', dtype='datetime64[ns]'))
E        +    where <function isna at 0x7f2475449ae8> = pd.isnull

xarray/tests/test_duck_array_ops.py:288: AssertionError
=============================== warnings summary

Issue Analytics

State:
Created 4 years ago
Reactions:1
Comments:12 (11 by maintainers)

Top GitHub Comments

1reaction

crusaderkycommented, Oct 20, 2019

Narrowed down:

>>> import numpy as np
>>> a = np.array(['1999-12-15', 'NaT'], dtype='M8[ns]')
>>> np.min(a)

Output: numpy 1.17: numpy.datetime64('1999-12-15T00:00:00.000000000') numpy 1.18: numpy.datetime64('NaT')

triggered by: https://github.com/pydata/xarray/blob/0f7ab0e909d9b6272f734a0b6fa4318e9522d3a2/xarray/core/duck_array_ops.py#L372

1reaction

crusaderkycommented, Oct 20, 2019

Looking more closely at the failing tests, there are actually two problems. One is with pandas/numpy git tip, and it only affects the upstream-dev test suite. The other is with pseudonetcdf-3.1, and it affects py36, py37, and upstream-dev.